Recursive Traversals

This recursive traversal example returns the names of vertices that are two outgoing steps from the author vertex named Julia CHILD using the times(2) step. Books, meals, and ingredients are returned by this query. However, if you tried to run this recursive query, you probably discovered that many indexes were required. A person in the food graph must index all edges to any vertex label to execute. Using the repeat() step should be carefully targeted unless exploration is the intended use and the graph is small.

// Return the names of the vertices 2 outgoing steps from the vertex named "Julia CHILD".
// This will likely include cookbooks, meals, and ingredients

g.V().has('name','Julia CHILD').repeat(out()).times(2).valueMap()

The output for this traversal lists each result:

==>{ingred_id=[3001], name=[beef]}
==>{ingred_id=[3002], name=[onion]}
==>{ingred_id=[3003], name=[mashed garlic]}
==>{ingred_id=[3003], name=[mashed garlic]}
==>{ingred_id=[3004], name=[butter]}
==>{ingred_id=[3005], name=[tomato paste]}
==>{type=[lunch], meal_id=[4001]}
==>{type=[lunch], meal_id=[4001]}
==>{ingred_id=[3008], name=[olive oil]}
==>{ingred_id=[3008], name=[olive oil]}
==>{ingred_id=[3010], name=[green beans]}
==>{ingred_id=[3011], name=[tuna]}
==>{publish_year=[1961], name=[The Art of French Cooking, Vol. 1], book_id=[1001], category=[[French, cooking, general]]}
==>{publish_year=[1961], name=[The Art of French Cooking, Vol. 1], book_id=[1001], category=[[French, cooking, general]]}
==>{ingred_id=[3012], name=[tomato]}
==>{ingred_id=[3013], name=[hard-boiled egg]}
==>{ingred_id=[3007], name=[zucchini]}
==>{ingred_id=[3006], name=[eggplant]}
==>{ingred_id=[3009], name=[yellow onion]}